Iranian Journal of Botany最新文献_第4页

Latest trends in the Cybersecurity after the solar wind hacking attack 太阳风黑客攻击后网络安全的最新趋势

Iranian Journal of Botany Pub Date : 2021-03-24 DOI: 10.33897/FUJEAS.V1I2.347

Naveed Akhtar

{"title":"Latest trends in the Cybersecurity after the solar wind hacking attack","authors":"Naveed Akhtar","doi":"10.33897/FUJEAS.V1I2.347","DOIUrl":"https://doi.org/10.33897/FUJEAS.V1I2.347","url":null,"abstract":"That dominance, in any case, has gotten to be a risk. On Sunday, Solar Winds alarmed thousands of its clients that an “outside country state” had found a back entryway into its most well-known item, an instrument called Orion that makes a difference organizations screen blackouts on their computer systems and servers. The company uncovered that programmers snuck a malevolent code that gave them inaccessible get to customers’ systems into an upgrade of Orion. The hack started as early as Walk, Solar Winds conceded, giving the programmers bounty of time to get to the customers’ inside workings. The breach was not found until the unmistakable cybersecurity company FireEye, which itself employments Solar Winds, decided it had experienced a breach through the program. FireEye has not freely faulted that breach on the Solar Winds hack, but it allegedly affirmed that was the case to the tech location Krebs On Security on Tuesday. FireEye depicted the malware’s bewildering capabilities, from at first lying torpid up to two weeks, to stowed away. That was December 13, 2020. FireEye gauges programmers to begin with picked up get to in Walk 2020. For about eight months, malevolent on-screen characters carted absent untold sums of touchy information from contaminated organizations — and the total scope of the breach is still unfolding. Despite Microsoft seizing the code’s command and control server (a common component in botnet assaults as well), a few security specialists think the assailants may still have get to the Solar Winds Orion program system. Others are conjecturing that these programmers cleared out behind extra, yet-to-be-seen malevolent code.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83960998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Phone numbers classificationwith feed-forward neural networks 前馈神经网络的电话号码分类

Iranian Journal of Botany Pub Date : 2021-03-22 DOI: 10.33897/FUJEAS.V1I2.340

S. Hayat

引用次数: 0

A comprehensive analysis of adaptive image restoration techniques in the presence of different noise models 综合分析了不同噪声模型下的自适应图像恢复技术

Iranian Journal of Botany Pub Date : 2021-03-22 DOI: 10.33897/FUJEAS.V1I2.322

A. Khan

引用次数: 0

تنوع ژنتیکی در میان جوامع گونههای گز با استفاده از نشانگر مولکولی CDDP

Iranian Journal of Botany Pub Date : 2020-12-21 DOI: 10.22092/IJB.2020.342824.1281

محمدعلی قوامپور, سید عباس میرجلیلی, محمد جعفری, حسین آذرنیوند, سید اکبر جوادی

{"title":"تنوع ژنتیکی در میان جوامع گونههای گز با استفاده از نشانگر مولکولی CDDP","authors":"محمدعلی قوامپور, سید عباس میرجلیلی, محمد جعفری, حسین آذرنیوند, سید اکبر جوادی","doi":"10.22092/IJB.2020.342824.1281","DOIUrl":"https://doi.org/10.22092/IJB.2020.342824.1281","url":null,"abstract":"سرده Tamarix به دلیل عدم قطعیت تعداد گونه‌ها، پراکنش و اهمیت اکولوژیکی در ایران، یکی از مهم‌ترین موضوعات در رده‌بندی تیره گز است. در این مطالعه، تنوع ژنتیکی و روابط خانوادگی 34 فرد از 8 جمعیت از 3 گونه Tamarix در استان اصفهان مورد بررسی قرار گرفت. ده آغازگر از نشانگر مولکولی CDDP برای بررسی تنوع ژنتیکی این سرده استفاده شد. 125 باند از ده آغازگر ایجاد شد، که از این تعداد 102 (16/80 درصد) چند شکلی بودند. آنالیز خوشه‌ای جمعیت‌ها را به سه گروه مجزا دسته‌بندی کرد. جریان بالای ژنی در میان گونه‌های Tamarix با استفاده از تجزیه و تحلیل PCoA تنوع زیادی در بین سه گونه Tamarix نشان داد، به طوری که نمونه‌های گونه‌های مختلف با هم گروه‌بندی شدند. تجزیه واریانس مولکولی نشان داد که تنوع ژنتیکی بین جمعیت (90٪) بیشتر از تنوع ژنتیکی درون جمعیت (10٪) است. بالاترین میانگین تنوع ژنتیکی نای (H) و شاخص تنوع شانون (I) در جمعیت حبیب‌آباد مشاهده شد. تجزیه و تحلیل داده‌ها نشان داد که صفات ریخت‌شناختی و داده‌های توالی DNA در سرده Tamarix کاملا با هم ارتباط ندارند، که می‌تواند با وجود تعداد زیاد دورگه‌ بین گونه‌ها و عدم تمایز ژنتیکی بین گونه‌های مورد مطالعه توجیه شود.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"26 1","pages":"123-133"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87905282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

گزارش جدید گونه Cerastium ponticum Albov برای فلور ایران

Iranian Journal of Botany Pub Date : 2020-12-21 DOI: 10.22092/IJB.2020.343022.1282

Katayoun Poursakhi, Mostafa Assadi, Farrokh Ghahremaninejad

引用次数: 0

Scorzonera alborzensis، گونه جدیدی از زیرجنس Scorzonera و بخشه Nervosae (Asteraceae) از ایران

Iranian Journal of Botany Pub Date : 2020-12-21 DOI: 10.22092/IJB.2020.343548.1290

سیدرضا صفوی, محمد امینی راد

引用次数: 0

Privacy Threats on Social Networking Websites 社交网站上的隐私威胁

Iranian Journal of Botany Pub Date : 2020-07-23 DOI: 10.33897/fujeas.v1i1.198

A. Shahid, Umair Abdullah

{"title":"Privacy Threats on Social Networking Websites","authors":"A. Shahid, Umair Abdullah","doi":"10.33897/fujeas.v1i1.198","DOIUrl":"https://doi.org/10.33897/fujeas.v1i1.198","url":null,"abstract":"Abstract: Widespread use of Social networking sites has increased the privacy threat for every individual. Privacy and security problem are two major issues associated with social networks, as the majority of the social network users are not cautious about the usability of the social websites. Social media sites have become latent target regarding offenders because of the occurrence of sensitive information and lack of user awareness of privacy settings. The overall aim of this paper is to enhance awareness about privacy and security issues associated with social networks and to provide guidelines to users for secure usage of social websites. Descriptive research has been conducted as it takes up the majority of online surveying and because of its quantitative nature, it is considered as conclusive. The survey results show that most of the users have their real information on social networking sites and they don’t change privacy settings of their accounts on regular basis. Moreover, as per survey findings, most users accept friend requests and invitations of unknown persons on social networking sites. Results of this research study will be helpful to bring awareness among users about privacy setting and they will learn how to control the privacy settings of their accounts and what type of content should be uploaded on social networking sites.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83910270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Word Embedding Model for Fault Localization using Bug and Software Change Repositories 基于Bug和软件变更库的故障定位词嵌入模型

Iranian Journal of Botany Pub Date : 2020-07-22 DOI: 10.33897/fujeas.v1i1.201

Aqib Rehman

{"title":"A Word Embedding Model for Fault Localization using Bug and Software Change Repositories","authors":"Aqib Rehman","doi":"10.33897/fujeas.v1i1.201","DOIUrl":"https://doi.org/10.33897/fujeas.v1i1.201","url":null,"abstract":"Software developed and then deployed in a real world environment is inevitable to exhibit some undesirable behavior. Therefore, developers need to provide maintenance facilities to enable the bugs causing the undesirable behavior to be fixed. However, prior to fixing the bug, the suspicious part of the code needs to be identified. For this purpose, they usually perform fault localization. This can be done manually as well as automatically. Several techniques exist in the literature for fault localization. However, most of them are static based techniques because they do not depend on a specific programming language along with the possibility to work on underdeveloped software and some other benefits. These techniques are largely based on lexical matching of terms which leads to mismatch of terms, large precision value because of limited vocabulary of a programming language and some techniques consider the semantics but it is computationally expensive to localize faults through this. In this paper we have proposed a fault localization technique which is based on the machine learning concept of word embedding. Our proposed approach aims at looking at the relatedness between the bug terms and source code artifact. We mined the bug repositories and software change repositories to train the word embedding model on the mined repositories data. On the arrival of a new bug, the cluster of the bugs from the model is searched and the files from the software change repositories are retrieved which are used for fixing those bugs. We have compared the results of our approach with the latest technique proposed in year 2018 Pointwise Mutual Information (PMI) and Normalized Google Distance (NGD) which consider the context and also with existing lexical techniques Vector Space Model (VSM) and the semantic based method Latent Semantic Indexing (LSI). We have used the benchmark dataset “MoreBugs” which has been widely used in this domain. The results show that our approach outperforms other techniques.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"120 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90581755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applying Centrality Measures for Impact Analysis in Coauthor ship Network 中心性测度在合作船舶网络影响分析中的应用

Iranian Journal of Botany Pub Date : 2020-07-22 DOI: 10.33897/fujeas.v1i1.200

Adeel Ahmed, Riqza Shabbir, Atifa Afzal, Muhammad Akmal, Sahar Fatimah

引用次数: 4

Assessing Research Collaboration in Database Systems and Computer Networks by Analysis of Coauthorship Network 从合作网络的分析评估数据库系统和计算机网络中的研究合作

Iranian Journal of Botany Pub Date : 2020-07-22 DOI: 10.33897/fujeas.v1i1.199

Adeel Ahmed, Tanveer Ahmed

引用次数: 0